LEO Satellite Network Routing and Orbital Position Optimization
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Solution Overview
Problem
Current methods for optimizing satellite orbital positions and routing in Low Earth Orbit (LEO) satellite networks are inadequate for maximizing communication throughput and efficiently covering vast areas of the Earth.
Innovation Solution
A method and apparatus that calculate communication throughput in each link of a LEO satellite network, determine satellite orbital position and routing variables to maximize overall communication throughput, and deploy satellites accordingly to optimize network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If satellites are deployed on multiple orbits to cover vast areas of the Earth, then the coverage area is improved, but the device complexity increases
Solution Approach 1:
The patent divides the satellite network into multiple distinct orbits (first orbit and second orbit) with satellites deployed at different altitudes and positions. This segmentation allows the system to cover vast areas of the Earth by distributing satellites across different orbital planes, thereby improving coverage area while managing network complexity through structured organization of satellite segments.
2Productivity
If satellite orbital positions are optimized to maximize communication throughput, then the communication throughput is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent optimizes satellite orbital positions by considering multiple dimensional parameters simultaneously, including orbital altitude, longitudinal position, latitudinal position, and timing variables. This multi-dimensional optimization approach maximizes communication throughput by adjusting satellites in various spatial and temporal dimensions, while the structured mathematical formulation helps manage the complexity of detecting and measuring optimal positions.
3Productivity
If routing variables are determined to maximize communication throughput, then the communication throughput is improved, but the device complexity increases
Solution Approach 1:
The patent determines routing variables dynamically by considering the real-time positions of satellites on multiple orbits, the communication demands between base stations, and the varying link qualities. This dynamic routing optimization maximizes communication throughput by adaptively selecting the best communication paths, while the systematic approach to variable determination helps manage routing complexity through structured decision-making processes.
Data Source
AI summary
The present disclosure relates to a method of determining satellite orbital positions and routing for a Low Earth Orbit (LEO) satellite network, and the method calculates a communication throughput in each of a link between the transmitting base station and a satellite deployed on the first orbit, a link between satellites deployed on the first and second orbits, and a link between a satellite deployed on the second orbit and the receiving base station, and calculating a communication throughput in an entire link between the transmitting base station and the receiving base station on the basis of the communication throughput in each link, determines satellite orbital position variables and routing variables for maximizing the communication throughput in the entire link, and determines deployment of satellites on the first and second orbits on the basis of the satellite orbit position variables and routing variables.